Browsing by Subject "myopathy"

Now showing items 1-6 of 6

    • Article  

      AM-FM texture segmentation in electron microscopic muscle imaging 

      Pattichis, Marios S.; Pattichis, Constantinos S.; Avraam, Maria; Bovik, Alan Conrad; Kyriacou, Kyriacos C. (2000)
      This paper describes the application of an amplitude modulation-frequency modulation (AM-FM) image representation in segmenting electron micrographs of skeletal muscle for the recognition of: 1) normal sarcomere ultrastructural ...
    • Article  

      A correlative study of quantitative EMG and biopsy findings in 31 patients with myopathies 

      Dardiotis, Efthymios; Papathanasiou, Eleftherios Stelios; Vonta, Filia; Hadjigeorgiou, Georgios M.; Zamba-Papanicolaou, Eleni; Kyriakides, Theodoros (2011)
      A direct correlation of QEMG with muscle biopsy findings might help delineate the sensitivity of QEMG in identifying muscle pathology as well as provide information on electrophysiological-histological correlations. In a ...
    • Article  

      Multi-scale AM-FM analysis for the classification of surface electromyographic signals 

      Christodoulou, Christodoulos I.; Kaplanis, P. A.; Murray, V.; Pattichis, Marios S.; Pattichis, Constantinos S.; Kyriakides, Theodoros (2012)
      In this work, multi-scale amplitude modulation-frequency modulation (AM-FM) features are extracted from surface electromyographic (SEMG) signals and they are used for the classification of neuromuscular disorders. The ...
    • Article  

      Neural Network Models in EMG Diagnosis 

      Pattichis, Constantinos S.; Schizas, Christos N.; Middleton, Lefkos T. (1995)
      In the past years, several computer-aided quantitative motor unit action potential (MUAP) techniques were reported. It is now possible to add to these techniques the capability of automated medical diagnosis so that all ...
    • Article  

      Time-scale analysis of motor unit action potentials 

      Pattichis, Constantinos S.; Pattichis, Marios S. (1999)
      Quantitative analysis in clinical electromyography (EMG) is very desirable because it allows a more standardized, sensitive and specific evaluation of the neurophysiological findings, especially for the assessment of ...
    • Article  

      Unsupervided pattern recognition for the classification of EMG signals 

      Christodoulou, Christodoulos I.; Pattichis, Constantinos S. (1999)
      The shapes and firing rates of motor unit action potentials (MUAP's) in an electromyographic (EMG) signal provide an important source of information for the diagnosis of neuromuscular disorders. In order to extract this ...